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Evolving flexible beta basis function neural tree for nonlinear systems
2013
The 2013 International Joint Conference on Neural Networks (IJCNN)
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Based on the pre-defined Beta operator sets, this model called Flexible Beta Basis Function Neural Tree (FBBFNT), can be created and learned. ...
In this paper, a new evolving artificial neural network using evolutionary computation is introduced. ...
FLEXIBLE BETA BASIS FUNCTION NEURAL TREE MODEL The first time where the Beta function was used as transfer function for neural networks was in 1997 by Alimi [12] and the corresponding model is named ...
doi:10.1109/ijcnn.2013.6706992
dblp:conf/ijcnn/BouazizAA13
fatcat:k2edbv4b7jbmhcujnhszqmpzy4
PSO-based update memory for Improved Harmony Search algorithm to the evolution of FBBFNT' parameters
2014
2014 IEEE Congress on Evolutionary Computation (CEC)
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, a PSO-based update memory for Improved Harmony Search (PSOUM-IHS) algorithm is proposed to learn the parameters of Flexible Beta Basis Function Neural Tree (FBBFNT) model. ...
The performance of the proposed evolving neural network is evaluated for nonlinear systems of prediction and identification and then compared with those of related models. ...
The new model is called Flexible Beta Basis Function Neural Tree (FBBFNT). ...
doi:10.1109/cec.2014.6900304
dblp:conf/cec/BouazizAA14
fatcat:373vh64xjbawndxjq7pzu5dumm
A hybrid learning algorithm for evolving Flexible Beta Basis Function Neural Tree Model
2013
Neurocomputing
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The proposed model called Flexible Beta Basis Function Neural Tree (FBBFNT) can be created and optimized based on the predefined Beta operator sets. ...
The performance of the proposed method is evaluated for benchmark problems drawn from control system and time series prediction area and is compared with those of related methods. ...
Based on the predefined Beta operator sets, a flexible Beta basis function neural tree model can be created and evolved. ...
doi:10.1016/j.neucom.2013.01.024
fatcat:mx6tfujwlfccfon42yi3dmiw7a